Lecture Notes on Nonstandard Analysis Ucla Summer School in Logic
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Nonstandard Methods in Analysis an Elementary Approach to Stochastic Differential Equations
Nonstandard Methods in Analysis An elementary approach to Stochastic Differential Equations Vieri Benci Dipartimento di Matematica Applicata June 2008 Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 1 / 42 In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. The advantages of a theory which includes infinitasimals rely more on the possibility of making new models rather than in the dimostration techniques. These two points will be illustrated using a-theory in the study of Brownian motion. The aim of this talk is to make two points relative to NSA: Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 2 / 42 The advantages of a theory which includes infinitasimals rely more on the possibility of making new models rather than in the dimostration techniques. These two points will be illustrated using a-theory in the study of Brownian motion. The aim of this talk is to make two points relative to NSA: In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 2 / 42 These two points will be illustrated using a-theory in the study of Brownian motion. The aim of this talk is to make two points relative to NSA: In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. The advantages of a theory which includes infinitasimals rely more on the possibility of making new models rather than in the dimostration techniques. Vieri Benci (DMA-Pisa) Nonstandard Methods 03/06 2 / 42 The aim of this talk is to make two points relative to NSA: In most applications of NSA to analysis, only elementary tools and techniques of nonstandard calculus seems to be necessary. -
An Introduction to Nonstandard Analysis 11
AN INTRODUCTION TO NONSTANDARD ANALYSIS ISAAC DAVIS Abstract. In this paper we give an introduction to nonstandard analysis, starting with an ultrapower construction of the hyperreals. We then demon- strate how theorems in standard analysis \transfer over" to nonstandard anal- ysis, and how theorems in standard analysis can be proven using theorems in nonstandard analysis. 1. Introduction For many centuries, early mathematicians and physicists would solve problems by considering infinitesimally small pieces of a shape, or movement along a path by an infinitesimal amount. Archimedes derived the formula for the area of a circle by thinking of a circle as a polygon with infinitely many infinitesimal sides [1]. In particular, the construction of calculus was first motivated by this intuitive notion of infinitesimal change. G.W. Leibniz's derivation of calculus made extensive use of “infinitesimal” numbers, which were both nonzero but small enough to add to any real number without changing it noticeably. Although intuitively clear, infinitesi- mals were ultimately rejected as mathematically unsound, and were replaced with the common -δ method of computing limits and derivatives. However, in 1960 Abraham Robinson developed nonstandard analysis, in which the reals are rigor- ously extended to include infinitesimal numbers and infinite numbers; this new extended field is called the field of hyperreal numbers. The goal was to create a system of analysis that was more intuitively appealing than standard analysis but without losing any of the rigor of standard analysis. In this paper, we will explore the construction and various uses of nonstandard analysis. In section 2 we will introduce the notion of an ultrafilter, which will allow us to do a typical ultrapower construction of the hyperreal numbers. -
1.1 Constructing the Real Numbers
18.095 Lecture Series in Mathematics IAP 2015 Lecture #1 01/05/2015 What is number theory? The study of numbers of course! But what is a number? • N = f0; 1; 2; 3;:::g can be defined in several ways: { Finite ordinals (0 := fg, n + 1 := n [ fng). { Finite cardinals (isomorphism classes of finite sets). { Strings over a unary alphabet (\", \1", \11", \111", . ). N is a commutative semiring: addition and multiplication satisfy the usual commu- tative/associative/distributive properties with identities 0 and 1 (and 0 annihilates). Totally ordered (as ordinals/cardinals), making it a (positive) ordered semiring. • Z = {±n : n 2 Ng.A commutative ring (commutative semiring, additive inverses). Contains Z>0 = N − f0g closed under +; × with Z = −Z>0 t f0g t Z>0. This makes Z an ordered ring (in fact, an ordered domain). • Q = fa=b : a; 2 Z; b 6= 0g= ∼, where a=b ∼ c=d if ad = bc. A field (commutative ring, multiplicative inverses, 0 6= 1) containing Z = fn=1g. Contains Q>0 = fa=b : a; b 2 Z>0g closed under +; × with Q = −Q>0 t f0g t Q>0. This makes Q an ordered field. • R is the completion of Q, making it a complete ordered field. Each of the algebraic structures N; Z; Q; R is canonical in the following sense: every non-trivial algebraic structure of the same type (ordered semiring, ordered ring, ordered field, complete ordered field) contains a copy of N; Z; Q; R inside it. 1.1 Constructing the real numbers What do we mean by the completion of Q? There are two possibilities: 1. -
0.999… = 1 an Infinitesimal Explanation Bryan Dawson
0 1 2 0.9999999999999999 0.999… = 1 An Infinitesimal Explanation Bryan Dawson know the proofs, but I still don’t What exactly does that mean? Just as real num- believe it.” Those words were uttered bers have decimal expansions, with one digit for each to me by a very good undergraduate integer power of 10, so do hyperreal numbers. But the mathematics major regarding hyperreals contain “infinite integers,” so there are digits This fact is possibly the most-argued- representing not just (the 237th digit past “Iabout result of arithmetic, one that can evoke great the decimal point) and (the 12,598th digit), passion. But why? but also (the Yth digit past the decimal point), According to Robert Ely [2] (see also Tall and where is a negative infinite hyperreal integer. Vinner [4]), the answer for some students lies in their We have four 0s followed by a 1 in intuition about the infinitely small: While they may the fifth decimal place, and also where understand that the difference between and 1 is represents zeros, followed by a 1 in the Yth less than any positive real number, they still perceive a decimal place. (Since we’ll see later that not all infinite nonzero but infinitely small difference—an infinitesimal hyperreal integers are equal, a more precise, but also difference—between the two. And it’s not just uglier, notation would be students; most professional mathematicians have not or formally studied infinitesimals and their larger setting, the hyperreal numbers, and as a result sometimes Confused? Perhaps a little background information wonder . -
Be a Metric Space
2 The University of Sydney show that Z is closed in R. The complement of Z in R is the union of all the Pure Mathematics 3901 open intervals (n, n + 1), where n runs through all of Z, and this is open since every union of open sets is open. So Z is closed. Metric Spaces 2000 Alternatively, let (an) be a Cauchy sequence in Z. Choose an integer N such that d(xn, xm) < 1 for all n ≥ N. Put x = xN . Then for all n ≥ N we have Tutorial 5 |xn − x| = d(xn, xN ) < 1. But xn, x ∈ Z, and since two distinct integers always differ by at least 1 it follows that xn = x. This holds for all n > N. 1. Let X = (X, d) be a metric space. Let (xn) and (yn) be two sequences in X So xn → x as n → ∞ (since for all ε > 0 we have 0 = d(xn, x) < ε for all such that (yn) is a Cauchy sequence and d(xn, yn) → 0 as n → ∞. Prove that n > N). (i)(xn) is a Cauchy sequence in X, and 4. (i) Show that if D is a metric on the set X and f: Y → X is an injective (ii)(xn) converges to a limit x if and only if (yn) also converges to x. function then the formula d(a, b) = D(f(a), f(b)) defines a metric d on Y , and use this to show that d(m, n) = |m−1 − n−1| defines a metric Solution. -
Do Simple Infinitesimal Parts Solve Zeno's Paradox of Measure?
Do Simple Infinitesimal Parts Solve Zeno's Paradox of Measure?∗ Lu Chen (Forthcoming in Synthese) Abstract In this paper, I develop an original view of the structure of space|called infinitesimal atomism|as a reply to Zeno's paradox of measure. According to this view, space is composed of ultimate parts with infinitesimal size, where infinitesimals are understood within the framework of Robinson's (1966) nonstandard analysis. Notably, this view satisfies a version of additivity: for every region that has a size, its size is the sum of the sizes of its disjoint parts. In particular, the size of a finite region is the sum of the sizes of its infinitesimal parts. Although this view is a coherent approach to Zeno's paradox and is preferable to Skyrms's (1983) infinitesimal approach, it faces both the main problem for the standard view (the problem of unmeasurable regions) and the main problem for finite atomism (Weyl's tile argument), leaving it with no clear advantage over these familiar alternatives. Keywords: continuum; Zeno's paradox of measure; infinitesimals; unmeasurable ∗Special thanks to Jeffrey Russell and Phillip Bricker for their extensive feedback on early drafts of the paper. Many thanks to the referees of Synthese for their very helpful comments. I'd also like to thank the participants of Umass dissertation seminar for their useful feedback on my first draft. 1 regions; Weyl's tile argument 1 Zeno's Paradox of Measure A continuum, such as the region of space you occupy, is commonly taken to be indefinitely divisible. But this view runs into Zeno's famous paradox of measure. -
Connes on the Role of Hyperreals in Mathematics
Found Sci DOI 10.1007/s10699-012-9316-5 Tools, Objects, and Chimeras: Connes on the Role of Hyperreals in Mathematics Vladimir Kanovei · Mikhail G. Katz · Thomas Mormann © Springer Science+Business Media Dordrecht 2012 Abstract We examine some of Connes’ criticisms of Robinson’s infinitesimals starting in 1995. Connes sought to exploit the Solovay model S as ammunition against non-standard analysis, but the model tends to boomerang, undercutting Connes’ own earlier work in func- tional analysis. Connes described the hyperreals as both a “virtual theory” and a “chimera”, yet acknowledged that his argument relies on the transfer principle. We analyze Connes’ “dart-throwing” thought experiment, but reach an opposite conclusion. In S, all definable sets of reals are Lebesgue measurable, suggesting that Connes views a theory as being “vir- tual” if it is not definable in a suitable model of ZFC. If so, Connes’ claim that a theory of the hyperreals is “virtual” is refuted by the existence of a definable model of the hyperreal field due to Kanovei and Shelah. Free ultrafilters aren’t definable, yet Connes exploited such ultrafilters both in his own earlier work on the classification of factors in the 1970s and 80s, and in Noncommutative Geometry, raising the question whether the latter may not be vulnera- ble to Connes’ criticism of virtuality. We analyze the philosophical underpinnings of Connes’ argument based on Gödel’s incompleteness theorem, and detect an apparent circularity in Connes’ logic. We document the reliance on non-constructive foundational material, and specifically on the Dixmier trace − (featured on the front cover of Connes’ magnum opus) V. -
Abraham Robinson, 1918 - 1974
BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY Volume 83, Number 4, July 1977 ABRAHAM ROBINSON, 1918 - 1974 BY ANGUS J. MACINTYRE 1. Abraham Robinson died in New Haven on April 11, 1974, some six months after the diagnosis of an incurable cancer of the pancreas. In the fall of 1973 he was vigorously and enthusiastically involved at Yale in joint work with Peter Roquette on a new model-theoretic approach to diophantine problems. He finished a draft of this in November, shortly before he underwent surgery. He spoke of his satisfaction in having finished this work, and he bore with unforgettable dignity the loss of his strength and the fading of his bright plans. He was supported until the end by Reneé Robinson, who had shared with him since 1944 a life given to science and art. There is common consent that Robinson was one of the greatest of mathematical logicians, and Gödel has stressed that Robinson more than any other brought logic closer to mathematics as traditionally understood. His early work on metamathematics of algebra undoubtedly guided Ax and Kochen to the solution of the Artin Conjecture. One can reasonably hope that his memory will be further honored by future applications of his penetrating ideas. Robinson was a gentleman, unfailingly courteous, with inexhaustible enthu siasm. He took modest pleasure in his many honors. He was much respected for his willingness to listen, and for the sincerity of his advice. As far as I know, nothing in mathematics was alien to him. Certainly his work in logic reveals an amazing store of general mathematical knowledge. -
Nonstandard Analysis (Math 649K) Spring 2008
Nonstandard Analysis (Math 649k) Spring 2008 David Ross, Department of Mathematics February 29, 2008 1 1 Introduction 1.1 Outline of course: 1. Introduction: motivation, history, and propoganda 2. Nonstandard models: definition, properties, some unavoidable logic 3. Very basic Calculus/Analysis 4. Applications of saturation 5. General Topology 6. Measure Theory 7. Functional Analysis 8. Probability 1.2 Some References: 1. Abraham Robinson (1966) Nonstandard Analysis North Holland, Amster- dam 2. Martin Davis and Reuben Hersh Nonstandard Analysis Scientific Ameri- can, June 1972 3. Davis, M. (1977) Applied Nonstandard Analysis Wiley, New York. 4. Sergio Albeverio, Jens Erik Fenstad, Raphael Høegh-Krohn, and Tom Lindstrøm (1986) Nonstandard Methods in Stochastic Analysis and Math- ematical Physics. Academic Press, New York. 5. Al Hurd and Peter Loeb (1985) An introduction to Nonstandard Real Anal- ysis Academic Press, New York. 6. Keith Stroyan and Wilhelminus Luxemburg (1976) Introduction to the Theory of Infinitesimals Academic Press, New York. 7. Keith Stroyan and Jose Bayod (1986) Foundations of Infinitesimal Stochas- tic Analysis North Holland, Amsterdam 8. Leif Arkeryd, Nigel Cutland, C. Ward Henson (eds) (1997) Nonstandard Analysis: Theory and Applications, Kluwer 9. Rob Goldblatt (1998) Lectures on the Hyperreals, Springer 2 1.3 Some history: • (xxxx) Archimedes • (1615) Kepler, Nova stereometria dolorium vinariorium • (1635) Cavalieri, Geometria indivisibilus • (1635) Excercitationes geometricae (”Rigor is the affair of philosophy rather -
Formal Power Series Rings, Inverse Limits, and I-Adic Completions of Rings
Formal power series rings, inverse limits, and I-adic completions of rings Formal semigroup rings and formal power series rings We next want to explore the notion of a (formal) power series ring in finitely many variables over a ring R, and show that it is Noetherian when R is. But we begin with a definition in much greater generality. Let S be a commutative semigroup (which will have identity 1S = 1) written multi- plicatively. The semigroup ring of S with coefficients in R may be thought of as the free R-module with basis S, with multiplication defined by the rule h k X X 0 0 X X 0 ( risi)( rjsj) = ( rirj)s: i=1 j=1 s2S 0 sisj =s We next want to construct a much larger ring in which infinite sums of multiples of elements of S are allowed. In order to insure that multiplication is well-defined, from now on we assume that S has the following additional property: (#) For all s 2 S, f(s1; s2) 2 S × S : s1s2 = sg is finite. Thus, each element of S has only finitely many factorizations as a product of two k1 kn elements. For example, we may take S to be the set of all monomials fx1 ··· xn : n (k1; : : : ; kn) 2 N g in n variables. For this chocie of S, the usual semigroup ring R[S] may be identified with the polynomial ring R[x1; : : : ; xn] in n indeterminates over R. We next construct a formal semigroup ring denoted R[[S]]: we may think of this ring formally as consisting of all functions from S to R, but we shall indicate elements of the P ring notationally as (possibly infinite) formal sums s2S rss, where the function corre- sponding to this formal sum maps s to rs for all s 2 S. -
Absolute Convergence in Ordered Fields
Absolute Convergence in Ordered Fields Kristine Hampton Abstract This paper reviews Absolute Convergence in Ordered Fields by Clark and Diepeveen [1]. Contents 1 Introduction 2 2 Definition of Terms 2 2.1 Field . 2 2.2 Ordered Field . 3 2.3 The Symbol .......................... 3 2.4 Sequential Completeness and Cauchy Sequences . 3 2.5 New Sequences . 4 3 Summary of Results 4 4 Proof of Main Theorem 5 4.1 Main Theorem . 5 4.2 Proof . 6 5 Further Applications 8 5.1 Infinite Series in Ordered Fields . 8 5.2 Implications for Convergence Tests . 9 5.3 Uniform Convergence in Ordered Fields . 9 5.4 Integral Convergence in Ordered Fields . 9 1 1 Introduction In Absolute Convergence in Ordered Fields [1], the authors attempt to dis- tinguish between convergence and absolute convergence in ordered fields. In particular, Archimedean and non-Archimedean fields (to be defined later) are examined. In each field, the possibilities for absolute convergence with and without convergence are considered. Ultimately, the paper [1] attempts to offer conditions on various fields that guarantee if a series is convergent or not in that field if it is absolutely convergent. The results end up exposing a reliance upon sequential completeness in a field for any statements on the behavior of convergence in relation to absolute convergence to be made, and vice versa. The paper makes a noted attempt to be readable for a variety of mathematic levels, explaining new topics and ideas that might be confusing along the way. To understand the paper, only a basic understanding of series and convergence in R is required, although having a basic understanding of ordered fields would be ideal. -
Casting out Beams: Berkeley's Criticism of the Calculus
Casting Out Beams: Berkeley's Criticism of the Calculus Eugene C. Boman Penn State - Harrisburg First cast out the beam out of thine own eye; and thou shalt see clearly to cast out the mote out of thy brother's eye. King James Bible, Matthew 7:5 Calculus burst upon the scientific community in the late 17th century with unparalleled success. Nevertheless it took another 200 years and the combined efforts of many first rate mathematicians to finally "get it right." In particular the fundamental concept of a limit did not take on its final form until the 1800's with the work of Karl Weierstrass. The Method of Fluxions as it was known in Britain, was invented by Isaac Newton in the 1660's. For reasons known only to him, he did not publish his invention until much later. In the meantime Gottfried Wilhelm Leibniz published his own formulation of Calculus which he called Calculus Differentialis in 1684. Newton's approach was kinematic. Quantities were said to "flow" in time and the fluxion (derivative) of a flowing quantity was interpreted as a velocity. Leibniz's approach was based on the idea of infinitely small quantities: infinitesimals. Their public priority brawl is both legendary [11] and a stain on both of their reputations. A slightly less well known public argument, but mathematically far more important, began in 1734 when Bishop George Berkeley published a treatise entitled The Analyst. Berkeley derided the lack of rigor in the fundamentals of both renderings of the topic. To be sure, neither Newton's nor Leibniz's formulation of the Calculus would stand up to the modern standard of rigor.